Torsional vibration reduction with augmented inverse model-based controller in wind turbine drivetrain
Wind energy has shown promising advantages in reducing the greenhouse effect by minimizing carbon dioxide emissions to improve earth climate. Wind turbine which falls under the umbrella of renewable energy family promises cleaner environment while generating electricity from wind energy with no bur...
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Elsevier B.V.
2017
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Online Access: | http://irep.iium.edu.my/57336/ http://irep.iium.edu.my/57336/ http://irep.iium.edu.my/57336/ http://irep.iium.edu.my/57336/1/57336_Torsional%20Vibration_complete.pdf http://irep.iium.edu.my/57336/2/57336_Torsional%20Vibration_SCOPUS.pdf http://irep.iium.edu.my/57336/13/57336_Torsional%20vibration%20reduction%20_wos.pdf |
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iium-573362019-08-17T13:27:00Z http://irep.iium.edu.my/57336/ Torsional vibration reduction with augmented inverse model-based controller in wind turbine drivetrain Toha, Siti Fauziah Yoshida, Shigeo Zhu, Hongzhong T Technology (General) TA Engineering (General). Civil engineering (General) Wind energy has shown promising advantages in reducing the greenhouse effect by minimizing carbon dioxide emissions to improve earth climate. Wind turbine which falls under the umbrella of renewable energy family promises cleaner environment while generating electricity from wind energy with no burnt fossil fuel. However, it portrays challenges in terms of high operating cost due to component failure. Thus this paper discusses on mitigating one of the problems related to wind turbine failure, the torsional vibration reduction in drive train. A generator torque control is investigated together with the particle swarm optimization technique in search for accurate parameters of the controller. This control strategy is a solution to low wind speed areas especially around South East Asian region. An augmented inverse model-based controller and band pass filter is proposed to obtain vibration attenuation at the dominant mode. The modelling endeavor is firstly obtained via particle swarm optimization search capability to obtain an accurate transfer function of the inverse model. A band pass filter (BPF) is then augmented with the inverse model as controller for torsional vibration suppression. Results have shown favorable comparison between the proposed and conventional methods in terms of vibration attenuation level. Elsevier B.V. 2017 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/57336/1/57336_Torsional%20Vibration_complete.pdf application/pdf en http://irep.iium.edu.my/57336/2/57336_Torsional%20Vibration_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/57336/13/57336_Torsional%20vibration%20reduction%20_wos.pdf Toha, Siti Fauziah and Yoshida, Shigeo and Zhu, Hongzhong (2017) Torsional vibration reduction with augmented inverse model-based controller in wind turbine drivetrain. In: IEEE International Symposium on Robotics and Intelligent Sensors, IRIS 2016, 17-20 Dec 2016, Hosei UniversityTokyo; Japan. http://ac.els-cdn.com/S1877050917302648/1-s2.0-S1877050917302648-main.pdf?_tid=c95e5404-5555-11e7-bdeb-00000aab0f27&acdnat=1497921440_7576fb3455ff890014caaf704a215b7f 10.1016/j.procs.2017.01.211 |
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T Technology (General) TA Engineering (General). Civil engineering (General) |
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T Technology (General) TA Engineering (General). Civil engineering (General) Toha, Siti Fauziah Yoshida, Shigeo Zhu, Hongzhong Torsional vibration reduction with augmented inverse model-based controller in wind turbine drivetrain |
description |
Wind energy has shown promising advantages in reducing the greenhouse effect by minimizing carbon dioxide emissions to
improve earth climate. Wind turbine which falls under the umbrella of renewable energy family promises cleaner environment while generating electricity from wind energy with no burnt fossil fuel. However, it portrays challenges in terms of high operating cost due to component failure. Thus this paper discusses on mitigating one of the problems related to wind turbine failure, the torsional
vibration reduction in drive train. A generator torque control is investigated together with the particle swarm optimization technique in search for accurate parameters of the controller. This control strategy is a solution to low wind speed areas especially around South East Asian region. An augmented inverse model-based controller and band pass filter is proposed to obtain vibration attenuation at
the dominant mode. The modelling endeavor is firstly obtained via particle swarm optimization search capability to obtain an accurate transfer function of the inverse model. A band pass filter (BPF) is then augmented with the inverse model as controller for torsional vibration suppression. Results have shown favorable comparison between the proposed and conventional methods in terms
of vibration attenuation level. |
format |
Conference or Workshop Item |
author |
Toha, Siti Fauziah Yoshida, Shigeo Zhu, Hongzhong |
author_facet |
Toha, Siti Fauziah Yoshida, Shigeo Zhu, Hongzhong |
author_sort |
Toha, Siti Fauziah |
title |
Torsional vibration reduction with augmented inverse model-based controller in wind turbine drivetrain |
title_short |
Torsional vibration reduction with augmented inverse model-based controller in wind turbine drivetrain |
title_full |
Torsional vibration reduction with augmented inverse model-based controller in wind turbine drivetrain |
title_fullStr |
Torsional vibration reduction with augmented inverse model-based controller in wind turbine drivetrain |
title_full_unstemmed |
Torsional vibration reduction with augmented inverse model-based controller in wind turbine drivetrain |
title_sort |
torsional vibration reduction with augmented inverse model-based controller in wind turbine drivetrain |
publisher |
Elsevier B.V. |
publishDate |
2017 |
url |
http://irep.iium.edu.my/57336/ http://irep.iium.edu.my/57336/ http://irep.iium.edu.my/57336/ http://irep.iium.edu.my/57336/1/57336_Torsional%20Vibration_complete.pdf http://irep.iium.edu.my/57336/2/57336_Torsional%20Vibration_SCOPUS.pdf http://irep.iium.edu.my/57336/13/57336_Torsional%20vibration%20reduction%20_wos.pdf |
first_indexed |
2023-09-18T21:21:02Z |
last_indexed |
2023-09-18T21:21:02Z |
_version_ |
1777411882716495872 |